This course prepares security leaders to navigate AI adoption and cloud transformation. Learn to build AI governance frameworks, understand OWASP LLM vulnerabilities, design cloud security architectures, and prepare for post-quantum cryptography challenges. The course covers vendor selection, implementation roadmaps, and executive-level strategy development.
Lead AI and cloud security transformation for your organization. Master strategic frameworks for AI governance, cloud security foundations, and post-quantum cryptography to drive innovation while building defenses against emerging threats.
Security leaders must navigate both AI adoption and cloud transformation simultaneously.
What you will learn:
AI Security Strategy
Build the business case for AI security investment
Design governance frameworks compliant with EU AI Act, NIST AI RMF, and ISO 42001
Identify Shadow AI and supply chain risks
Address OWASP LLM Top 10 vulnerabilities including prompt injection
AI Defense and Implementation
Defend against adversarial ML attacks and data poisoning
Counter deepfake and AI-enhanced fraud threats
Transform SOC operations with AI-powered capabilities
Build implementation roadmaps with vendor selection criteria
Cloud Security Foundations
Establish landing zones and multi-account architectures
Implement identity and access management at scale
Configure security guardrails and CSPM tooling
Design secure network architectures with Zero Trust principles
Cloud Operations and Governance
Protect data with encryption, classification, and backup strategies
Integrate DevSecOps into CI/CD pipelines
Manage multicloud and SaaS security governance
Lead organizational transformation for cloud adoption
Post-Quantum Readiness
Understand quantum threats to current encryption
Build cryptographic inventories and assess dependencies
Develop crypto-agility strategies for PQC transition
Culminates in executive capstone: design enterprise security modernization strategy.
30 CPE credits across 5 intensive days.
Highlights
Master AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001), cloud security architecture, identity management, and post-quantum cryptography preparation for comprehensive emerging technology leadership
Earn 30 CPE credits across 5 days of expert-led training. Designed for security leaders responsible for AI adoption, cloud transformation, and emerging technology strategy decisions
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This listing offers one pricing dimension: a single-user license for LDR520: Emerging Trends for Cyber Leaders: AI & Cloud. You pay per user under a contract model, so pricing scales by the number of licenses you buy. Each license covers one person's access to the course. There are no tiers, instance sizes, or usage add-ons to choose from. To cover a larger team, you add more single-user licenses.
Top-of-mind questions for buyers
What does one single-user license cover for the LDR520 course?
One license gives one named person access to the LDR520 course: Emerging Trends for Cyber Leaders: AI and Cloud. The course runs five days when instructor-led, or 30 self-paced hours worth 30 CPE credits, and includes 13 hands-on labs. Course material is tied to that individual and not shared.
How does cost change if I need to train more than one person?
Cost scales directly with the number of licenses you buy. Each additional person needs their own single-user license, since access is tied to one individual. There are no tiers or bulk usage units to select. To cover a team, you add one license per learner.
Which training formats can I use with this license?
SANS delivers courses through live in-person events, live online sessions, and self-paced OnDemand study. The LDR520 course offers a five-day instructor-led format and a 30-hour self-paced option. Confirm the exact format tied to your purchase with the vendor before enrolling.
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